Sujaudeen Nannai, Thirumurugan Ravialagappan, Shrika Thota et al.
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This approach combines option-permutation augmentation for Chinese data, annotator vote expansion for Indonesian data, and binary reformulation with SinhalaMMLU augmentation with SinhalaMMLU augmentation for Sri Lankan data to focus on pluralistic value alignment in the contexts of China, Indonesia, and Sri Lanka.
Vihindi Kotalawala, Nevidu Jayatilleke
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Yuming Zhang, Jun-Yu Zhou, Hong-Yu Li et al.
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This paper details the Eloquence team's approach to Task 2 of the 2nd MLC-SLM challenge at Interspeech 2026, which involves multilingual Multiple-Choice Question Answering (MCQA) across 21 languages. Three approaches are explored. First, we fine-tune Voxtral-Mini-3B via LoRA with cross-lingual data augmentation, ASR tr...
Jordi Luque, Lorenzo Concina, M. Matassoni et al.
· 2nd Workshop on Multilingual... · 1 citation
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Vicent Ahuir, Sergio Marín Muñoz, M. Castro-Bleda
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This work studies a variety of retrieval-based in-context learning (RetICL) strategies for detecting defamatory offences under {\S}{\S} 185-187 StGB (the subject of GermEval 2026 Subtask 4).
Kristin Gnadt, Maximilian Meidinger, M. Aßenmacher
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